All Outputs (2)

A strategy-based algorithm for moving targets in an environment with multiple agents (2022)
Journal Article
Afzalov, A., Lotfi, A., Inden, B., & Aydin, M. E. (2022). A strategy-based algorithm for moving targets in an environment with multiple agents. SN Computer Science, 3(6), 435. https://doi.org/10.1007/s42979-022-01302-x

Most studies in the field of search algorithms have only focused on pursuing agents, while comparatively less attention has been paid to target algorithms that employ strategies to evade multiple pursuing agents. In this study, a state-of-the-art tar... Read More about A strategy-based algorithm for moving targets in an environment with multiple agents.

Transfer learning for operator selection: A reinforcement learning approach (2022)
Journal Article
Durgut, R., Aydin, M. E., & Rakib, A. (2022). Transfer learning for operator selection: A reinforcement learning approach. Algorithms, 15(1), Article 24. https://doi.org/10.3390/a15010024

In the past two decades, metaheuristic optimisation algorithms (MOAs) have been increasingly popular, particularly in logistic, science, and engineering problems. The fundamental characteristics of such algorithms are that they are dependent on a par... Read More about Transfer learning for operator selection: A reinforcement learning approach.